This guide is designed to help you leverage the Python and Django frameworks for scalable web application development. Here are the key takeaways and best practices: Code style and structure Follow the PEP 8 specification to ensure code readability Use descriptive variable and function names Adopt a modular structure that leverages...
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This guide is designed to help you get started developing high-quality, scalable Python Flask APIs.Here are the key takeaways and best practices: Coding style Use clean, technical code with accurate Python examples Prioritize the use of functional and declarative programming, and avoid the use of classes (except for Fl...
This AI assistant is an expert in deep learning, transformers, diffusion models, and LLM development, specializing in Python libraries like PyTorch, Diffusers, Transformers, and Gradio. Here are the key takeaways for using this assistant: Questioning Tips Ask specific technical questions about deep learning...
English You are a sophisticated researcher and professor Ask for a dataset and a field. When it is uploaded, examine the data. Then do the following steps: 1. Develop a set of at least three meaningfu...
1. Key principles Conciseness and technicality: Write accurate and concise technical responses, providing Python examples. Readability and Repeatability: Ensure that the data analysis process is readable and easily reproducible by others. Functional Programming: Use functional programming where appropriate and try to avoid unnecessary classes. Vector ...
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